Evidence map›Paper›PMID 32977454›Full record

ReviewBiomolecules2020

Circulating microRNA as a Biomarker for Coronary Artery Disease.

Ibrahim T Fazmin, Zakaria Achercouk, Charlotte E Edling, Asri Said, Kamalan Jeevaratnam

Open access · goldAbstract readReview
In one paragraph

Review in Biomolecules, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 15% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. MicroRNAs: Midfielders of Cardiac Health, Disease and Treatment.International journal of molecular sciences · 2023
    Review
  12. Article
  13. Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 2 countries.

Ibrahim T FazminFaculty of Health and Medical Science, University of Surrey, Guildford GU2 7AL, UK.ORCID 0000-0002-3300-6279
Zakaria AchercoukFaculty of Health and Medical Science, University of Surrey, Guildford GU2 7AL, UK.
Charlotte E EdlingFaculty of Health and Medical Science, University of Surrey, Guildford GU2 7AL, UK.ORCID 0000-0002-0959-1455
Asri SaidSchool of Medicine, University Malaysia Sarawak, Kota Samarahan 94300, Sarawak, Malaysia.ORCID 0000-0003-3008-5204
Kamalan JeevaratnamFaculty of Health and Medical Science, University of Surrey, Guildford GU2 7AL, UK.ORCID 0000-0002-6232-388X
University of Surrey · GBUniversiti Malaysia Sarawak · MYUniversity of Cambridge · GB

Funding

Research England GCRF
6 · The paper itself

Abstract

Coronary artery disease (CAD) is the leading cause of sudden cardiac death in adults, and new methods of predicting disease and risk-stratifying patients will help guide intervention in order to reduce this burden. Current CAD detection involves multiple modalities, but the consideration of other biomarkers will help improve reliability. The aim of this narrative review is to help researchers and clinicians appreciate the growing relevance of miRNA in CAD and its potential as a biomarker, and also to suggest useful miRNA that may be targets for future study. We sourced information from several databases, namely PubMed, Scopus, and Google Scholar, when collating evidentiary information. MicroRNAs (miRNA) are short, noncoding RNAs that are relevant in cardiovascular physiology and pathophysiology, playing roles in cardiac hypertrophy, maintenance of vascular tone, and responses to vascular injury. CAD is associated with changes in miRNA expression profiles, and so are its risk factors, such as abnormal lipid metabolism and inflammation. Thus, they may potentially be biomarkers of CAD. Nevertheless, there are limitations in using miRNA. These include cost and the presence of several confounding factors that may affect miRNA profiles. Furthermore, there is difficulty in the normalisation of miRNA values between published studies, due to pre-analytical variations in samples.

Indexed as

BiomarkersCirculating MicroRNACoronary Artery DiseaseHumansMicroRNAsRisk FactorsBiomarkersCirculating MicroRNAMicroRNAsbiomarkerscoronary artery diseasemicroRNAnoncoding RNA

Identifiers

PMID32977454
PMCPMC7598281
OpenAlexW3088121992

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.